不确定需求情景下的一种城市物流中心选址方法

摘要

在不确定需求情景下,运用非线性规划方法,构建及实现了基于鲁棒性优化的城市物流中心选址模型.此模型不仅可以最小化期望值总费用,而且可以大大降低最坏情景的最大后悔值,减小投资的风险.并通过实例及数据分析验证其合理性和实用性,为未来城市物流中心的发展规划提供了一个可供选择的办法.%The rationality of city logistic facility location influences social and economic benefits of city logistics. Based on the uncertainty demand - scenario and nonlinear programming method, a robust model was studied and the solution method was expressed for the city logistic facility center location. Instance calculation and analysis verified the feasibility and effectiveness of the model. The results indicate that the model can not only minimize the total expectation cost, but also greatly decrease the maximum regret value. So it is an alternative method for city logistic facility center location in the future.